
<h1><span class="yiyi-st" id="yiyi-12">numpy.append</span></h1>
        <blockquote>
        <p>原文：<a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.append.html">https://docs.scipy.org/doc/numpy/reference/generated/numpy.append.html</a></p>
        <p>译者：<a href="https://github.com/wizardforcel">飞龙</a> <a href="http://usyiyi.cn/">UsyiyiCN</a></p>
        <p>校对：（虚位以待）</p>
        </blockquote>
    
<dl class="function">
<dt id="numpy.append"><span class="yiyi-st" id="yiyi-13"> <code class="descclassname">numpy.</code><code class="descname">append</code><span class="sig-paren">(</span><em>arr</em>, <em>values</em>, <em>axis=None</em><span class="sig-paren">)</span><a class="reference external" href="http://github.com/numpy/numpy/blob/v1.11.3/numpy/lib/function_base.py#L4534-L4586"><span class="viewcode-link">[source]</span></a></span></dt>
<dd><p><span class="yiyi-st" id="yiyi-14">将值附加到数组的末尾。</span></p>
<table class="docutils field-list" frame="void" rules="none">
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<tr class="field-odd field"><th class="field-name"><span class="yiyi-st" id="yiyi-15">参数：</span></th><td class="field-body"><p class="first"><span class="yiyi-st" id="yiyi-16"><strong>arr</strong>：array_like</span></p>
<blockquote>
<div><p><span class="yiyi-st" id="yiyi-17">值附加到此数组的副本。</span></p>
</div></blockquote>
<p><span class="yiyi-st" id="yiyi-18"><strong>值</strong>：array_like</span></p>
<blockquote>
<div><p><span class="yiyi-st" id="yiyi-19">这些值附加到<em class="xref py py-obj">arr</em>的副本。</span><span class="yiyi-st" id="yiyi-20">它必须是正确的形状（与<em class="xref py py-obj">arr</em>相同的形状，不包括<em class="xref py py-obj">轴</em>）。</span><span class="yiyi-st" id="yiyi-21">如果未指定<em class="xref py py-obj">axis</em>，则<em class="xref py py-obj">值</em>可以是任何形状，并在使用前展平。</span></p>
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<p><span class="yiyi-st" id="yiyi-22"><strong>axis</strong>：int，可选</span></p>
<blockquote>
<div><p><span class="yiyi-st" id="yiyi-23">沿其附加<em class="xref py py-obj">值</em>的轴。</span><span class="yiyi-st" id="yiyi-24">如果未给出<em class="xref py py-obj">axis</em>，则在使用之前，将<em class="xref py py-obj">arr</em>和<em class="xref py py-obj">值</em>都展平。</span></p>
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<tr class="field-even field"><th class="field-name"><span class="yiyi-st" id="yiyi-25">返回：</span></th><td class="field-body"><p class="first"><span class="yiyi-st" id="yiyi-26"><strong>追加</strong>：ndarray</span></p>
<blockquote class="last">
<div><p><span class="yiyi-st" id="yiyi-27"><em class="xref py py-obj">轴</em>附加<em class="xref py py-obj">值</em>的<em class="xref py py-obj">arr</em>的副本。</span><span class="yiyi-st" id="yiyi-28">请注意，<a class="reference internal" href="#numpy.append" title="numpy.append"><code class="xref py py-obj docutils literal"><span class="pre">append</span></code></a>不是就地发生的：分配并填充一个新的数组。</span><span class="yiyi-st" id="yiyi-29">如果<em class="xref py py-obj">axis</em>为None，则<em class="xref py py-obj">out</em>是一个展平的数组。</span></p>
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<div class="admonition seealso">
<p class="first admonition-title"><span class="yiyi-st" id="yiyi-30">也可以看看</span></p>
<dl class="last docutils">
<dt><span class="yiyi-st" id="yiyi-31"><a class="reference internal" href="numpy.insert.html#numpy.insert" title="numpy.insert"><code class="xref py py-obj docutils literal"><span class="pre">insert</span></code></a></span></dt>
<dd><span class="yiyi-st" id="yiyi-32">将元素插入数组。</span></dd>
<dt><span class="yiyi-st" id="yiyi-33"><a class="reference internal" href="numpy.delete.html#numpy.delete" title="numpy.delete"><code class="xref py py-obj docutils literal"><span class="pre">delete</span></code></a></span></dt>
<dd><span class="yiyi-st" id="yiyi-34">从数组中删除元素。</span></dd>
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</div>
<p class="rubric"><span class="yiyi-st" id="yiyi-35">例子</span></p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">append</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">],</span> <span class="p">[[</span><span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">6</span><span class="p">],</span> <span class="p">[</span><span class="mi">7</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">9</span><span class="p">]])</span>
<span class="go">array([1, 2, 3, 4, 5, 6, 7, 8, 9])</span>
</pre></div>
</div>
<p><span class="yiyi-st" id="yiyi-36">指定<em class="xref py py-obj">axis</em>时，<em class="xref py py-obj">值</em>必须具有正确的形状。</span></p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">append</span><span class="p">([[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">],</span> <span class="p">[</span><span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">6</span><span class="p">]],</span> <span class="p">[[</span><span class="mi">7</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">9</span><span class="p">]],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
<span class="go">array([[1, 2, 3],</span>
<span class="go">       [4, 5, 6],</span>
<span class="go">       [7, 8, 9]])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">append</span><span class="p">([[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">],</span> <span class="p">[</span><span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">6</span><span class="p">]],</span> <span class="p">[</span><span class="mi">7</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">9</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
<span class="gt">Traceback (most recent call last):</span>
<span class="c">...</span>
<span class="gr">ValueError</span>: <span class="n">arrays must have same number of dimensions</span>
</pre></div>
</div>
</dd></dl>
